This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
You run multiple AI coding agents, but they all waste tokens understanding the same repository. Tempest fixes this. Index your repository once, then run every agent in its own isolated workspace while sharing the same understanding. Up to 64% fewer tokens for any agent.
Have you ever tried running multiple AI coding agents in parallel, only to realize every agent reads the same repository before it even starts working?
Frustrating, right? 😤 That's exactly why we built Tempest.
I'm Prharsha, founder of Tempest. And I believe we're optimizing for the wrong thing.
Instead of making every agent rediscover your codebase, Tempest indexes your repository once, so every agent shares that understanding while working in its own isolated workspace. Every agent gets its own space to work safely without stepping on another agent's changes, while using up to 64% fewer tokens.
🚀 What is Tempest? Tempest is an open-source agent orchestrator for AI coding agents. It supports Claude Code, Gemini CLI, Codex, OpenCode, GitHub Copilot, Cline, Goose, and more. It runs natively on Windows, macOS, and Linux, so you can use the same workflow regardless of your development environment.
💡 Why we built Tempest
Most agent orchestrators are obsessed with one metric: "How many agents can we run?"
We think that's the wrong goal.
The future of agentic engineering isn't about running 100 agents. It's about getting the most work done for the least cost.
If 100 agents each spend thousands of tokens rediscovering the same repository, you've built an expensive system...not an efficient one.
We'd rather run 50 well-informed agents that share repository understanding, work in isolated workspaces, and finish the same amount of work using far fewer tokens.
We don't think the future is more agents. We think the future is smarter agents.
What can you do with Tempest? ⚡ Run multiple AI coding agents in parallel. 🧠 Share repository understanding across every agent to reduce token usage by up to 64%. 🌿 Give every agent its own isolated workspace so they never step on each other's changes. 💬 Comment on code and send your feedback directly back to an agent. 🌐 Preview your app without leaving Tempest. 💻 Works on Windows, macOS, and Linux.
We're building Tempest in the open, and we'd genuinely love your feedback. Whether you agree with our vision or think we're completely wrong, we'd love to hear your thoughts. Every conversation helps us build a better product.
Thanks for checking out Tempest and supporting open source! ❤️
A specific number like 64% is more interesting than "fewer tokens" would be, so the question is what it's measured against — same task, same model, same success rate? Token reduction is easy if you're allowed to let quality slip.
And where does the saving come from? Shared context between parallel agents, more aggressive pruning, or not re-sending the same files each turn? Those have different failure modes: pruning is where I'd expect an agent to quietly lose the constraint you gave it forty turns ago.
About Tempest on Product Hunt
“Run AI agents in parallel with 64% fewer tokens ”
Tempest was submitted on Product Hunt and earned 9 upvotes and 3 comments, placing #24 on the daily leaderboard. You run multiple AI coding agents, but they all waste tokens understanding the same repository. Tempest fixes this. Index your repository once, then run every agent in its own isolated workspace while sharing the same understanding. Up to 64% fewer tokens for any agent.
Tempest was featured in Open Source (68.7k followers), Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 233.9k products, making this a competitive space to launch in.
Who hunted Tempest?
Tempest was hunted by Prharsha. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Tempest stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Prharsha
Hello Product Hunt Community! 👋
Have you ever tried running multiple AI coding agents in parallel, only to realize every agent reads the same repository before it even starts working?
Frustrating, right? 😤 That's exactly why we built Tempest.
I'm Prharsha, founder of Tempest. And I believe we're optimizing for the wrong thing.
Instead of making every agent rediscover your codebase, Tempest indexes your repository once, so every agent shares that understanding while working in its own isolated workspace. Every agent gets its own space to work safely without stepping on another agent's changes, while using up to 64% fewer tokens.
🚀 What is Tempest?
Tempest is an open-source agent orchestrator for AI coding agents. It supports Claude Code, Gemini CLI, Codex, OpenCode, GitHub Copilot, Cline, Goose, and more. It runs natively on Windows, macOS, and Linux, so you can use the same workflow regardless of your development environment.
💡 Why we built Tempest
Most agent orchestrators are obsessed with one metric:
"How many agents can we run?"
We think that's the wrong goal.
The future of agentic engineering isn't about running 100 agents. It's about getting the most work done for the least cost.
If 100 agents each spend thousands of tokens rediscovering the same repository, you've built an expensive system...not an efficient one.
We'd rather run 50 well-informed agents that share repository understanding, work in isolated workspaces, and finish the same amount of work using far fewer tokens.
We don't think the future is more agents. We think the future is smarter agents.
What can you do with Tempest?
⚡ Run multiple AI coding agents in parallel.
🧠 Share repository understanding across every agent to reduce token usage by up to 64%.
🌿 Give every agent its own isolated workspace so they never step on each other's changes.
💬 Comment on code and send your feedback directly back to an agent.
🌐 Preview your app without leaving Tempest.
💻 Works on Windows, macOS, and Linux.
We're building Tempest in the open, and we'd genuinely love your feedback. Whether you agree with our vision or think we're completely wrong, we'd love to hear your thoughts. Every conversation helps us build a better product.
Thanks for checking out Tempest and supporting open source! ❤️